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Knowledge formalization for experts’ selection into a collaborative maintenance platform

Abstract : Over the past twenty years, the maintenance function has undergone considerable change to respond to advanced technologies of information and communication (NTIC) with successive concepts, e-maintenance and s-maintenance. The important role of the human factor in the problems related to conduct industrial processes is indisputable and is justified by a greater diversity of research. Indeed, the consideration of the human characteristics is essential to enhance the factory performance. Particularly, reuse of human knowledge is an element which plays an essential role in the continuous improvement of maintenance activities. In this context, we are interested to the problem of selection of experts in maintenance process. We propose, in this paper, a new approach to formalize knowledge as first step to solve the experts' selection problem under the previous experience. In that purpose, this paper takes domain ontology as a framework, the experience feedback models used to select experts, in the purpose to collaborate the interactions between them as a team that is capable of making decision in a fault diagnosis/repair situation based not only on skills but also according to the previous experience and CMDO ontology as the knowledge domain.
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  • HAL Id : hal-02359724, version 1
  • OATAO : 22800

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Mokhtaria Bekkaoui, Mohamed Hedi Karray, Zaki Sari. Knowledge formalization for experts’ selection into a collaborative maintenance platform. INCOM2015, May 2015, Ottawa, Canada. pp.1445-1450. ⟨hal-02359724⟩

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